In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.
|Translated title of the contribution||Adaptive region-based multimodal image fusion using ICA bases|
|Title of host publication||9th International Conference on Information Fusion, FUSION, Florence, Italy|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1 - 6|
|Publication status||Published - Jul 2006|
|Event||9th International Conference on Information Fusion - Florence, Italy|
Duration: 1 Jul 2006 → …
|Conference||9th International Conference on Information Fusion|
|Period||1/07/06 → …|
Bibliographical noteRose publication type: Conference contribution
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- image fusion
- region-based image fusion
- image fusion metrics
- Independent component analysis